Data Engineer Intern

Insurance Institute for Business & Home SafetyRichburg, SC
1dOnsite

About The Position

2026 Summer Internship — Data Engineer Internship The Insurance Institute for Business & Home Safety (IBHS) is seeking interns to join our team this summer. As an IBHS intern, you’ll contribute to our mission of strengthening homes, businesses, and communities against severe weather—which means making a difference in the lives of real people. You’ll also work for a world-class organization where integrity and hard work are valued and where crash-testing homes and buildings is all part of the plan for discovering better building methods. Learn more about IBHS at ibhs.org and hear what former interns have to say about their experience at ibhs.org/intern-with-ibhs. Purpose The Data Engineer intern will be responsible for building, documenting, optimizing, and maintaining data pipelines and systems to support various application needs. This role involves close collaboration with data analysts, scientists, and business stakeholders to understand data requirements, implement data quality standards, and ensure reliable data flow. Project Summary Current active research projects including single-ply roof cover, aging farms, steep slope solar, IR refresh are ongoing research projects but also have many elements that have been stored under different data strategies as our processes have matured over time. While we are setting systems in place for the data lakehouse to ingest our newly collected project files, data, and metadata, there is still a need for this to occur for some of our older project files. This will require significant coordination between the research team (understanding what the data is and where) and the data analytics team.

Requirements

  • Python: Strong foundational skills for scripting, data manipulation (e.g., Pandas), and ETL development.
  • SQL: Proficient in writing complex queries, stored procedures and understanding relational database concepts (Microsoft SQL Server).
  • Cloud Basics: Familiarity with Azure cloud data services and basic compute services.
  • Version Control: Proficient with collaborative development practices, branching, merging, and code review (Git).
  • Applicants should be authorized to work in the US.
  • Reliably commute or planning to relocate before starting work (Required).

Nice To Haves

  • Bachelor's or Master's level Computer Science Engineering

Responsibilities

  • building, documenting, optimizing, and maintaining data pipelines and systems to support various application needs
  • close collaboration with data analysts, scientists, and business stakeholders to understand data requirements
  • implement data quality standards
  • ensure reliable data flow
  • coordination between the research team (understanding what the data is and where) and the data analytics team
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